Engineering Mathematics Volume - II (For 2nd Year of JNTU, Anantapur) PDF Download
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Author: Iyenger T.K.V./ Gandhi, Krishna B./ Ranganatham S. & Prasad M.V.S.S.N.
Publisher: S. Chand Publishing
ISBN: 8121936586
Category : Mathematics
Languages : en
Pages : 978
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Book Description
Unit I 1. Real And Complex Matrices And Linear System Of Equations 2. Eigen Values And Eigen Vectors 3. Quadratic Forms Unit Ii 4. Solution Of Algebraic And Transcendental Equations 5. Interpolation 6. Curve Fitting Unit Iii 7. Numerical Differentiation And Integration 8. Numerical Solution Of Ordinary Differential Equations Unit Iv 9. Fourier Series 10. Fourier Transforms Unit V 11. Partial Differential Equations
Author: Iyenger T.K.V./ Gandhi, Krishna B./ Ranganatham S. & Prasad M.V.S.S.N.
Publisher: S. Chand Publishing
ISBN: 8121936586
Category : Mathematics
Languages : en
Pages : 978
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Book Description
Unit I 1. Real And Complex Matrices And Linear System Of Equations 2. Eigen Values And Eigen Vectors 3. Quadratic Forms Unit Ii 4. Solution Of Algebraic And Transcendental Equations 5. Interpolation 6. Curve Fitting Unit Iii 7. Numerical Differentiation And Integration 8. Numerical Solution Of Ordinary Differential Equations Unit Iv 9. Fourier Series 10. Fourier Transforms Unit V 11. Partial Differential Equations
![Engineering Mathematics - I [JNTU Anantapur] PDF](https://books.google.com/books/content/images/frontcover/YqnmDwAAQBAJ?fife=w80-h100)
Author: TKV Iyengar et al.
Publisher: S. Chand Publishing
ISBN: 9352837665
Category : Science
Languages : en
Pages : 769
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Book Description
This is the sixteenth edition of the book Engineering Mathematics-I. The earlier editions have received positive response from the teachers and the students. This textbook has been written conferring to the revised syllabus (R19) of first year (First Semester) of B. Tech students of JNTU, Anantapur. In this edition some topics have been updated. The previous question paper problems have been included at appropriate places. For the benefit of the students, the previous GATE questions have been included at the end of each chapter. The topics has been made as simple as possible and in some instances detailed explanation
Author: E. Rukmangadachari
Publisher: Pearson Education India
ISBN: 9788131755846
Category :
Languages : en
Pages : 324
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Book Description
Author: H K Dass
Publisher: S. Chand Publishing
ISBN: 8121938902
Category : Mathematics
Languages : en
Pages : 1734
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Book Description
For Engineering students & also useful for competitive Examination.
Author: T.K.V. Iyengar, B. Krishna Gandhi, S. Ranganatham & M.V.S.S.N. Prasad
Publisher: S. Chand Publishing
ISBN: 9352837932
Category : Science
Languages : en
Pages : 776
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Book Description
Engineering Mathematics-II
Author: Iyenger T.K.V./ Gandhi, Krishna B./ Ranganatham S. & Prasad M.V.S.S.N.
Publisher: S. Chand Publishing
ISBN: 9352832442
Category : Mathematics
Languages : en
Pages : 693
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Book Description
Engineering Mathematics
Author: H K Dass
Publisher: S. Chand Publishing
ISBN: 8121935245
Category : Mathematics
Languages : en
Pages : 794
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Book Description
For B.E./B.Tech. / B.Arch. Students for First Semester of all Engineering Colleges of Maha Maya Technical University, Noida and Gautam Buddha Technical University, Lucknow
Author: T. K. V. Iyengar, B. Krishna Gandhi, S. Ranganatham & M.V.S.S.N. Prasad
Publisher: S. Chand Publishing
ISBN: 9352838211
Category : Science
Languages : en
Pages : 904
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Book Description
Laplace Transforms, Numerical Methods & Complex Variables
Author: Avrim Blum
Publisher: Cambridge University Press
ISBN: 1108617360
Category : Computers
Languages : en
Pages : 433
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Book Description
This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
Author: Dr T.K.V. Iyengar & Dr B. Krishna Gandhi & S. Ranganadham &
Dr M.V.S.S.N. Prasad
Publisher: S. Chand Publishing
ISBN: 9352838270
Category : Science
Languages : en
Pages : 592
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Book Description
This book comprises previous question papers problems at appropriate places and also previous GATE questions at the end of each chapter for the benefit of the students
